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Gene expression profiles of the diabetic glomerular endothelial cell

ABSTRACT: The objective of this study is to create an encyclopedia of all genes expressed in the glomerular endothelial cell under normal and diabetic conditions. We utilized Tie2-GFP transgenic mice to mark cells of the glomerular endothelium. To induce diabetic nephropathy (DB), a genetic model of DB, BKS.Cg-m +/+ Leprdb/J from Jax laboratories was used. We utilized fluorescent activated cell sorting (FACS) to isolate glomerular endothelial cells from normal and diabetic mice. The RNAs from these samples were isolated and utilized to hybridize to microarrays, which offers a powerful, efficient and effective method for the creation of a gene expression atlas. Microarrays were used to identify the transciptional differences that occur in the glomular endothelium of a diabetic mouse.

ORGANISM(S): Mus musculus

PROVIDER: GSE21324 | GEO | 2010/08/16

SECONDARY ACCESSION(S): PRJNA126169

REPOSITORIES: GEO

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Gene expression profiles of the diabetic glomerular endothelial cell

Project description:The objective of this study is to create an encyclopedia of all genes expressed in the glomerular endothelial cell under normal and diabetic conditions. We utilized Tie2-GFP transgenic mice to mark cells of the glomerular endothelium. To induce diabetic nephropathy (DB), a genetic model of DB, BKS.Cg-m +/+ Leprdb/J from Jax laboratories was used. We utilized fluorescent activated cell sorting (FACS) to isolate glomerular endothelial cells from normal and diabetic mice. The RNAs from these samples were isolated and utilized to hybridize to microarrays, which offers a powerful, efficient and effective method for the creation of a gene expression atlas. Microarrays were used to identify the transciptional differences that occur in the glomular endothelium of a diabetic mouse. Diabetic and control mice carrying the Tie2-GFP transgenic were utilized to isolate the endothelial cells from the adult glomerulus. The endothelial cells were isolated from the glomerulus using FACS. RNA was isolated and the gene expression profiles were determined by microarrays.

2010-08-16 | E-GEOD-21324 | biostudies-arrayexpress

Dynaimic changes in glomerular cells in the development of diabetes

Project description:To investigate dynamic changes in glomerular cells, including podocyte, mesangial cells and glomerular endothelial cells, in the development of diabetic nephropathy We then performed gene expression profiling analysis using data obtained from RNA-seq of glomerular cells of control(m/m), diabetic (db-/- 6-week-old) and diabetic nephropathy (db-/- 10-week-old with albuminuria) mice

2023-10-27 | GSE219268 | GEO

Transcriptome Alteration in the Diabetic Heart by Rosiglitazone: Implications for Cardiovascular Mortality

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Transcriptome Alteration in the Diabetic Heart by Rosiglitazone: Implications for Cardiovascular Mortality

Project description:The type 2 diabetes medication, rosiglitazone, has come under scrutiny for possibly increasing the risk of cardiac disease and death. To investigate the effects of rosiglitazone on the diabetic heart, we performed cardiac transcriptional profiling of a murine model of type 2 diabetes, the C57BL/KLS-leprdb/leprdb (db/db) mouse. We compared cardiac gene expression profiles from three groups: untreated db/db mice (db-c), db/db mice after rosiglitazone treatment (db-t), and non-diabetic db/+ mice. Mice were divided into three groups: Non-diabetic controls (db/+), untreated diabetic controls (db-c), and rosiglitazone-treated diabetic mice (db-t). Whole-heart RNA from five mice from each of the three groups after four months with or without treatment was used for microarray analysis.Universal Reference RNAs for mouse (Stratagene, La Jolla, CA) were purchased as microarray reference controls.

2012-03-28 | E-GEOD-36875 | biostudies-arrayexpress

Single-cell transcriptional profiles in glomeruli from type 2 db-/- mice

Project description:Diabetic nephropathy is a chronic complication of diabetes, presenting albuminuria at an early stage and leading to renal failure. Kidney is a complicated organ, which is responsible for body fluids control, acid-base balance, and removal of toxins. To better understand the progress of diabetic nephropathy, mice renal cortex of control mice, six-week db-/- (increased serum glucose without pathological changes in kidneys), and ten-week db-/- (with pathological changes in kidneys) were collected for single-cell sequencing analyses. A subgroup of glomerular endothelial cells with pro-angiogenetic features was identified in diabetic kidneys.

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Cross-species transcriptional networks in Diabetic Glomerulopathy in mouse and man

Project description:Murine models have been valuable instruments in defining the pathogenesis of diabetic nephropathy (DN), but they only partially recapitulate disease manifestations of human DN, limiting their utility . In order to define the molecular similarities and differences between human and murine DN, we performed a cross-species comparison of glomerular transcriptional networks. Glomerular gene expression was profiled in patients with early type 2 DN and in three mouse models (streptozotocin DBA/2 mice, db/db C57BLKS, and eNOS-deficient C57BLKS db/db mice). Species-specific transcriptional networks were generated and compared with a novel network-matching algorithm. Three shared, human-mouse cross-species glomerular transcriptional networks containing 143 (Human-STZ), 97 (Human- db/db), and 162 (Human- eNOS-/- db/db) gene nodes were generated. Shared nodes across all networks reflected established pathogenic mechanisms of diabetic complications, such as elements of JAK-STAT and VEGFR signaling pathways . In addition, novel pathways not formally associated with DN and cross-species gene nodes and pathways unique to each of the human-mouse networks were discovered. The human-mouse shared glomerular transcriptional networks will assist DN researchers in the selection of mouse models most relevant to the human disease process of interest. Moreover, they will allow identification of new pathways shared between mice and humans. We used microarrays to analyze the transcriptome of three different diabetic mouse models Glomerular RNA was extracted using the RNeasy Mini Kit and processed for hybridization on Affymetrix GeneChip Mouse Genome 430 2.0 microarrays.

2012-12-10 | E-GEOD-33744 | biostudies-arrayexpress

Single-Cell Analysis of Age-Related Changes in Leukocytes of Diabetic Mouse Hindpaws

Project description:We used single cell RNA sequencing to identify transcriptomic changes in immune cells of the distal limb in diabetic Leprdb/db mice at two different ages that have the potential to contribute to the complications of the distal limb associated with diabetes

2024-03-27 | GSE247211 | GEO

Cross-species transcriptional networks in Diabetic Glomerulopathy in mouse and man

2012-12-10 | GSE33744 | GEO

Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications

Project description:Diabetes is associated with altered metabolism, but how altered metabolism contributes to the development of complications such as diabetic kidney disease is unknown. We used a systems approach with transcriptomics and mass spectrometry (MS)-based metabolomics to determine alterations in carbohydrate and lipid metabolism in kidney cortex tissue from 24-week-old BKS db/db diabetic mice and db/+ controls. Glomerular-deprived kidney cortex (kidney proximal tubule) gene expression was profiled and compared with metabolite data. Transcriptomic and metabolomic profiling demonstrated an increase in both glycolysis and fatty acid beta-oxidation,

2016-12-08 | GSE86300 | GEO

Single-cell profiling of glomerular cells provides a dynamic picture in experimental diabetic kidney disease

Project description:Background: Recent single-cell RNA sequencing (scRNA-seq) analyses have offered much insight into cell-specific gene expression profiles in normal kidneys. However, in diseased kidneys, understanding of changes in specific cells, particularly glomerular cells, remains limited. Methods: To elucidate the glomerular cell–specific gene expression changes in diabetic kidney disease, we performed scRNA-seq analysis of isolated glomerular cells from streptozotocin-induced diabetic endothelial nitric oxide synthase (eNOS)–deficient (eNOS-/-) mice and control eNOS-/- mice. Results: We identified five distinct cell populations, including glomerular endothelial cells, mesangial cells, podocytes, immune cells, and tubular cells. Using scRNA-seq analysis, we confirmed the expression of glomerular cell–specific markers and also identified several new potential markers of glomerular cells. The number of immune cells was significantly higher in diabetic glomeruli compared with control glomeruli, and further cluster analysis showed that these immune cells were predominantly macrophages. Analysis of differential gene expression in endothelial and mesangial cells of diabetic and control mice showed dynamic changes in the pattern of expressed genes, many of which are known to be involved in diabetic kidney disease. Moreover, gene expression analysis showed variable responses of individual cells to diabetic injury. Conclusion: Our findings demonstrate the ability of scRNA-seq analysis in isolated glomerular cells from diabetic and control mice to reveal dynamic changes in gene expression in diabetic kidneys, with variable responses of individual cells. Such changes, which might not be apparent in bulk transcriptomic analysis of glomerular cells, may help identify important pathophysiologic factors contributing to the progression of diabetic kidney disease.

2019-03-08 | GSE127235 | GEO

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